Dataset: Best Books Of The Decade: 2020's

About this Dataset

Best Books Of The Decade: 2020's

This dataset contains two parts:

1. **Best Books of the Decade: 2020s**
2. **User Reviews**

Best Books of the Decade: 2020s
A collection of the top 2,327 books from the 2020s based on user ratings and popularity. Columns include:

Index: Unique identifier for each book.
Book Name: The title of the book.
Author: The author(s) of the book.
Rating: Average user rating (on a scale of 1 to 5).
Number of Votes: Total number of votes the book received.
Score: An aggregate score calculated based on ratings and votes.

User Reviews

A dataset of 600,000 user-generated reviews for these books, useful for collaborative filtering and recommendation systems. Columns include:

userId: Unique identifier for each user.
bookIndex: Corresponding index of the book from the first dataset.
score: The score (rating) the user gave to the book (from 1 to 5).

This dataset is ideal for exploring book popularity trends, user preferences, and building recommendation systems.

Tables

Books Of The Decade

@kaggle.valakhorasani_best_books_of_the_decade_2020s.books_of_the_decade

128.27 KB
2329 rows
6 columns


CREATE TABLE books_of_the_decade (
  "index" BIGINT,
  "book_name" VARCHAR,
  "author" VARCHAR,
  "rating" VARCHAR,
  "number_of_votes" VARCHAR,
  "score" BIGINT
);

User Reviews Dataset

@kaggle.valakhorasani_best_books_of_the_decade_2020s.user_reviews_dataset

2.64 MB
600000 rows
3 columns


CREATE TABLE user_reviews_dataset (
  "userid" BIGINT,
  "bookindex" BIGINT,
  "score" BIGINT
);